Novel Fisher discriminant classifiers

DOI10.1016/j.patcog.2012.03.021zbMath1242.68276OpenAlexW1975619936WikidataQ59538757 ScholiaQ59538757MaRDI QIDQ437766

Elena Casiraghi, Gabriele Lombardi, Alessandro Rozza, Paola Campadelli

Publication date: 19 July 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.03.021

zbMATH Keywords

supervised learningsmall sample size problemdiscriminant techniquesFisher subspace

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

Related Items (4)

Pseudo-inverse linear discriminants for the improvement of overall classification accuracies ⋮ Integrated Fisher linear discriminants: an empirical study ⋮ Novel high intrinsic dimensionality estimators ⋮ Structural multiple empirical kernel learning

Uses Software

• rda

Cites Work

• Regularized linear discriminant analysis and its application in microarrays
• Support vector machines with applications
• The truncated SVD as a method for regularization
• Measures of distance between probability distributions
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• Nonlinear Discriminant Analysis Using Kernel Functions and the Generalized Singular Value Decomposition
• Nearest neighbor pattern classification
• A direct LDA algorithm for high-dimensional data -- with application to face recognition
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